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Cerebrovascular Disease Profiles of Culturally and Linguistically Diverse Communities in South Western Sydney and New South Wales
Conclusion: Greater rates of TIA/stroke were observed in specific CALD communities, with increased rates of cerebrovascular risk factors. Culturally specific, targeted interventions may bridge health inequalities in cerebrovascular disease.Cerebrovasc Dis
Source: Cerebrovascular Diseases - May 12, 2022 Category: Neurology Source Type: research

Transition in Incidence Rate of Hospitalised Stroke and Case Fatality Rate in the Hunter Region, Australia, 2001-2019: A Prospective Hospital-Based Study
Introduction: Continuous surveillance of stroke admissions has been conducted in the Hunter region, Australia, over the past two decades. We aimed to describe the trends in incidence rates of hospitalised stroke and case-fatality rates in this region, 2001-2019. Methods: From a hospital-based stroke registry, data for admitted adult stroke patients residing in the Hunter region were collected using ICD-10 codes for ischemic and haemorrhagic stroke. Negative binomial regression and logistic regression analysis were used to analyse trends for age-standardised and age-specific incidence rates of hospitalised stroke and 28-day...
Source: Journal of Stroke and Cerebrovascular Diseases - February 3, 2022 Category: Neurology Authors: Yumi Tomari Kashida, Thomas Lillicrap, Rhonda Walker, Elizabeth Holliday, Md Golam Hasnain, Shinya Tomari, Carlos Garcia-Esperon, Jennifer J. Majersik, Neil J. Spratt, Christopher Levi Source Type: research

Epidemiology of stroke in the last decade: a systematic review
CONCLUSION: There are few studies that analyse the incidence of CVD and even fewer that analyse its evolution. The overall median remains high, although the figures are heterogeneous across studies. Worldwide the trend is towards its decrease, and there are geographical areas, especially in Asia, with an alarming upward trend.PMID:34676530 | DOI:10.33588/rn.7309.2021138
Source: Revista de Neurologia - October 22, 2021 Category: Neurology Authors: F Purroy N Montal à Source Type: research

Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
Conclusion: Electronic administrative records from this cohort produced reliable outcome prediction and identified clinically appropriate factors negatively impacting most outcome variables following hospital admission with stroke. This presents a means of future identification of modifiable factors associated with patient discharge destination. This may potentially aid in patient selection for certain interventions and aid in better patient and clinician education regarding expected discharge outcomes.
Source: Frontiers in Neurology - September 27, 2021 Category: Neurology Source Type: research

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